S. Kan and G.H. Bham (USA)
lane change behavior, mandatory lane change, discretionary lane change, microscopic simulation models
Lane change algorithms in microscopic simulation models aim at simulating a series of decision-making processes during lane change movement. The agreement between the simulated and field lane change behaviors is an important factor for simulation models to replicate the real world conditions. This paper is a first attempt to evaluate the overall consistency of lane change behaviors between microscopic simulation models and field observations. In this paper, the driver’s decision-making processes, i.e. desirability, feasibility, and maneuverability are evaluated using cumulative distribution functions of driver lane change behaviors from the simulated and field data. These evaluations are performed for several variables representing driver behavior in mandatory and discretionary lane changes. A case study, simulating the field conditions of I-80 in Emeryville, CA with the popular microscopic simulation model VISSIM, is used to obtain the simulation results and compare with the field data.
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